History of depression and cognitive function in late - HAL

advertisement
1
Persistent depressive symptoms and cognitive function in late midlife: The Whitehall II
study
Archana Singh-Manoux PhD*1,2,3, Tasnime N Akbaraly PhD 2,4,5, Michael Marmot MD, PhD
2
, Maria Melchior ScD 1, Joël Ankri MD, PhD 3, Séverine Sabia PhD 1, Jane E Ferrie PhD 2
* Corresponding author & address:
1
National Institute for Health & Medical Research; INSERM U687
Hôpital Paul Brousse, Bât 15/16
16 Avenue Paul Vaillant Couturier
94807 VILLEJUIF CEDEX, France
Telephone: +33 (0)1 77 74 74 10
Fax: +33 (0)1 77 74 74 03
Email: Archana.Singh-Manoux@inserm.fr
2
Department of Epidemiology and Public Health
University College London, UK
3
Centre de Gérontologie, Hôpital Ste Périne, AP-HP, France
4
INSERM U888, Montpellier, F-34093 France
5
University Montpellier I, Montpellier, France
Word count: abstract: 245; text: 2812
Financial support: AS-M is supported by a “European Young Investigator Award” from the
European Science Foundation. MM (research professorship), TNA was supported by the
Academy of Finland (grants no: 117604, 124322) and JEF are supported by the MRC
(G8802774). The Whitehall II study has been supported by grants from the British Medical
Research Council (MRC); the British Heart Foundation; National Heart, Lung, and Blood
Institute, NIH (R01HL036310); the National Institute on Aging, NIH (R01AG013196;
R01AG034454).
Acknowledgements: We thank all of the participating civil service departments and their
welfare, personnel, and establishment officers; the British Occupational Health and Safety
Agency; the British Council of Civil Service Unions; all participating civil servants in the
Whitehall II study; and all members of the Whitehall II study team.
2
Abstract
Objective: Depression has been widely linked to poor cognition and dementia in the elderly.
However, comorbidity at older ages does not allow an assessment of the role of mental health
as a risk factor for cognitive outcomes. We examined the association between depressive
symptoms, measured 6 times over an 18-year period, and cognitive deficits in late midlife.
Methods: 4271 men and women (35-55 years at baseline) from the Whitehall II study were
followed up for 18 years during which depressive symptoms were assessed 6 times using the
General Health Questionnaire depression subscale. Cognition was assessed at the most recent
wave (2002-2004, mean age 61, range 50-74) using six tests: memory, reasoning, vocabulary,
2 tests of verbal fluency and the MMSE (Mini Mental State Examination). Cognitive deficit
was defined as MMSE <28 and performance in the worst sex-specific quintile for the other
tests.
Results: History of depressive symptoms, once or more in the 6 times assessed, had a weak
association with some of the cognitive tests. However, in analysis adjusted for
sociodemographic variables, diabetes, coronary heart disease, hypertension, stroke, & antidepressant use, persistent depressive symptoms (4-6 times) were associated with cognitive
deficits on all tests: memory (Odds Ratio (OR)=1.91; 95% Confidence Interval (CI)=1.362.67), reasoning (OR=1.60; 95% CI=1.15-2.20), vocabulary (OR=1.75; 95% CI=1.27-2.41),
phonemic fluency (OR=1.40; 95% CI=1.00-1.94), semantic fluency (OR=1.68; 95% CI=1.202.35), and the MMSE (OR=1.76; 95% CI=1.25-2.50).
Conclusions: Our data show that depressive episodes tend to persist in some individuals and
these individuals are at a greater risk of cognitive deficits in late midlife.
3
Introduction
Depression1 and impaired cognition2 are common conditions in the elderly and their
co-morbid prevalence doubles every five years after the age of 70, leading to both conditions
being present in 25% of those over 85 years of age 3. Depression has been shown to be
associated with poor cognitive performance4-9, cognitive decline10-15 and dementia11;16-32.
Three explanations of these associations have been put forward. The first is that depressive
symptoms themselves are a psychological reaction to the awareness of declining cognitive
capacities9;29;33. Another implicates a common cause like vascular disease10;11;19;23;25;30;31,while
the third view is that depression is a risk factor for cognitive decline12;14;15;18;32;34;35. This
debate on depression as a cause or consequence of cognitive decline is further confused by the
presence of cross-sectional, but lack of longitudinal associations, in the same studies6;7.
Most of the research in this domain has been carried out on the elderly,5-10;12;14;1623;26;27;29-31;35
where incipient dementia is likely to introduce some recall bias in the results.
Thus, it is possible that depression is both a remote risk factor and a proximal prodromal
feature of Alzheimer’s Disease (AD)36. It is now widely accepted that dementia develops over
many years, perhaps 20-30 years,37 but much research on the identification of risk factors for
dementia is undertaken in elderly populations. There is considerable evidence to link poor
adult cognition to late-life dementia;38;39 but few studies have looked at the association
between depression and cognition at earlier ages. One exception, a small case control study on
individuals aged 20 to 64 years, found major depression to be associated with deficits in
memory and mental flexibility4. Another large study on middle aged adults, from a clinical
population, used hospital admission data to show that the risk of dementia increased with the
number of episodes of depressive disorders28.
The temporal dimension in the association between depression and cognitive
impairment40 is crucial in order to assess whether depression, amenable to treatment, is a risk
factor for cognitive outcomes. However, most studies use one measure of depression and
examine cognitive function either cross-sectionally or cognitive decline prospectively. Thus,
it remains unclear whether recurrent or multiple episodes of depression have a stronger affect
on cognition. The primary objective of our study is to examine the association between
history and frequency of depressive symptoms, measured 6 times over an 18-year period, and
cognitive deficits using a range of cognitive tests in late midlife. We also examine crosssectional associations, and associations with proximal and distal measures of depressive
symptoms.
4
Methods
The target population for the Whitehall II study was all London-based office staff,
aged 35–55 years, working in 20 civil service departments41. Baseline screening (Phase 1)
took place during 1985-1988 (N=10,308; 67% men), and involved a clinical examination and
a self-administered questionnaire containing sections on demographic characteristics, health,
lifestyle factors, work characteristics, social support and life events. The clinical examination
included measures of blood pressure, anthropometry, biochemical measurements,
neuroendocrine function, and subclinical markers of cardiovascular disease. Subsequent
phases of data collection have alternated between postal questionnaire alone: Phases 2 (19891990), 4 (1995-1996), 6 (2001) and 8 (2006) and postal questionnaire accompanied by a
clinical examination: Phases 3 (1991-1993), 5 (1997-1999) and 7 (2002-2004). The
University College London ethics committee approved this study.
Depressive symptoms
In the Whitehall II study a four-item depression subscale has been identified42 from
the 30-item General Health Questionnaire (GHQ)43 on the basis of factor analysis and
comparison with the 7-item depression subscale of the GHQ-2844. These items were as
follows: “thinking of yourself as a worthless person”, “felt life is entirely hopeless”, “felt life
isn’t worth living”, “found at times you couldn’t do anything because your nerves were too
bad”. Depressive symptoms were assessed by summing all items scored on a Likert scale from
0–3. Respondents scoring 0–3 were considered “non-cases” and those scoring 4 or more,
“GHQ depression cases”. GHQ depressive symptoms were assessed at Phases 1, 2, 3, 5, 6 and
7 of the study and used to construct a summary score, range 0 to 6, indicating the number of
times a person is a case. ‘Distal’ (to the measure of cognition) depressive symptoms were
defined as GHQ depression in the first three assessments (phases 1, 2 and 3), over the first six
years of follow-up. “Proximal’ (to the measure of cognition) depressive symptoms were
defined as GHQ depression in the last three assessments (phases 5, 6 and 7), over the last six
of the total 18-year follow-up.
Cognitive function
The cognitive test battery, administered at Phase 7 (2002-2004), consisted of six
standard tasks chosen to provide a comprehensive assessment of cognitive function. The six
tests are as follows:
5
Short-term verbal memory was assessed with a 20-word free recall test. Participants
were presented a list of 20 one or two syllable words at two second intervals and were then
asked to recall in writing as many of the words in any order and had two minutes to do so.
The Alice Heim 4-I (AH4-I) is composed of a series of 65 verbal and mathematical
reasoning items of increasing difficulty45. It tests inductive reasoning, measuring the ability to
identify patterns and infer principles and rules. Participants had 10 minutes to do this section.
Vocabulary was assessed using the Mill Hill Vocabulary test,46 used in its multiple
format, consisting of a list of 33 stimulus words ordered by increasing difficulty and six
response choices.
We used two measures of verbal fluency: phonemic and semantic47. Phonemic fluency
was assessed via “S” words and semantic fluency via “animal” words. Subjects were asked to
recall in writing as many words beginning with “S” and as many animal names as they could.
One minute was allowed for each test.
Finally, the 30-item Mini-Mental-State-Examination (MMSE) was used to assess
global cognitive status48.
Covariates used were age, sex, highest qualification on leaving full-time education
(primary school, lower secondary school, higher secondary school, university, and higher
university degree) and marital status (married/cohabiting, single, widowed, and
divorced/separated). As measures of health are associated with depression and cognition,31 40
we adjusted for the effects of diabetes (self-report of doctor diagnosis), clinically validated
Coronary Heart Disease (CHD), stroke (self-report of doctor diagnosis) and hypertension
(systolic and diastolic blood pressure >140/90 mm/Hg or treatment for hypertension). Antidepressant use was assessed using a questionnaire on medications.
Statistical analysis
Scores in the lowest sex-specific quintile for all tests except the MMSE were seen to
represent cognitive deficit. Among men (women), deficit was defined as scores below 5 (5)
for memory, 39 (30) for the AH4-I, 24 (20) for the Mill-Hill, 13 (12) for phonemic fluency,
and 13 (12) for semantic fluency. For the MMSE, instead of applying the standard cut off
used in elderly populations, we used a higher cut-off of 28 in order to match the
categorisation for other cognitive tests, leading to 12.1% men and 14.7% women to be
classified as having cognitive deficit.
6
We first examined the association between GHQ depression and cognitive deficit
using the broad categorization of those with and without a history of depressive symptoms at
Phase 7. Thus, depression “caseness” at any phase over the 18-year follow-up led the
individual to be classified as having a history of GHQ depression. These associations were
assessed using logistic regression, first adjusted for age, sex, marital status and education in
order to remove confounding effects of socio-demographic variables. The second level of
adjustment includes measures of diabetes, CHD, hypertension, stroke and anti-depressant use
in order to assess whether the association between depression and cognition was robust to
adjustment for potential common causes 10;11;19;23;25;30;31 and confounding by antidepressant
use. We repeated this analysis using data only from Phase 7 in order to assess the crosssectional association between GHQ depression and cognitive deficit.
We then examined the association between frequency of depressive symptoms over
the 18-year follow-up and cognitive deficit at Phase 7. For these analyses we categorized the
six measures of GHQ depression as following: never depressed, depressed once, depressed 23 times and depressed 4-6 times. Subsequently we examined the association between ‘distal’
and ‘proximal’ depressive symptoms and poor cognitive performance. For both these
measures we categorised proximal and distal depressive symptoms as following: never
depressed, depressed once, and depressed 2-3 times. All analyses have the two levels of
adjustment outlined above, the first for the socio-demographic variables and the second for
potential common causes. All analyses were performed using SAS statistical software,
version 9.1.
RESULTS
Of the 10,308 participants at the start of the Whitehall II study, 6967 were alive and
involved in the study at Phase 7. Of these, 5837 undertook cognitive testing and for 4353
individuals a full history of GHQ depression (measured 6 times over 18 years) was available.
Data on covariates were missing for a further 82 individuals, leading to the analysis on 4271
participants. Compared to baseline, more men (72% vs. 67%) and more participants with a
university degree or higher (30% vs. 27%) were included in our analyses. Out of the 4271
participants, a similar number reported experiencing depressive symptoms at all six measures:
11.9%, 13.8%, 12.1%, 11.4%, 9.6% and 10.9%, respectively.
Table 1 compares those with a history of depressive symptoms, GHQ depression at
one or more of the 6 phases, with those who did not report depressive symptoms at any of the
6 measures over the 18-year period. Those with a history of depression were more likely to be
7
unmarried, highly educated and on anti-depressants. The interaction term between sex and the
summary score of depressive symptoms showed no sex differences on the influence of
depression on cognition (all p>0.13) thus men and women were combined in further analysis.
Table 2 presents the results from the logistic regression showing the association between
history of depressive symptoms, defined as GHQ depression at any of the 6 measures, and
cognitive deficit on the left hand side. On the right hand side are shown the cross-sectional
associations between depressive symptoms and cognitive deficit at Phase 7. In general terms,
the associations between depressive symptoms and cognitive deficit are stronger in crosssectional analyses.
The association between the frequency of GHQ depression, measured 6 times over 18
years, and poor cognitive performance are shown in Table 3. The categories depressed 2
(6.9%) and 3 times (3.9%) were combined in these analyses. Similarly, the categories
depressed 4 (2.9%), 5 (1.7%) and 6 times (1.2%) were also combined. Frequent depressive
symptoms (4 to 6 times) were associated with poor performances on the tests of memory
compared to participants who report no depressive symptoms at any of the 6 measures over
the 18-year follow-up (Odds Ratio (OR)=1.91; 95% Confidence Interval (CI)=1.36-2.67),
reasoning (OR=1.60; 95% CI=1.15-2.20), vocabulary (OR=1.75; 95% CI=1.27-2.41),
phonemic fluency (OR=1.40; 95% CI=1.00-1.94), semantic fluency (OR=1.68; 95% CI=1.202.35), and the MMSE (OR=1.76; 95% CI=1.25-2.50).
Table 4 presents the results on the association between ‘distal’ depressive symptoms,
GHQ depression in the three measures taken during the first 6 years of follow-up, and poor
cognitive performance. Those with 2 (6.4%) and 3 episodes (3.3%) of GHQ depression have
been combined in these analyses. There is some evidence of an association between frequent
(2-3 times out of the 3 measured) distal depressive symptoms and poor memory (OR=1.49;
95% CI=1.14-1.95) and semantic fluency (OR=1.35; 95% CI=1.03-1.76). Table 5 presents the
results for ‘proximal’ depressive symptoms, depressive symptoms in the 6 years before the
measure of cognition. Here again, two (4.3%) and three (3.6%) episodes of depression have
been combined for the analyses. Frequent ‘proximal’ depressive symptoms (2-3 times out of
the 3 measured) was associated with poor performance on all tests (ORs 1.5 to 1.8 for the
tests).
DISCUSSION
A quick look at our results would suggest that the association between depressive
symptoms and cognitive deficit in late midlife is being driven by cross-sectional associations.
8
However, this interpretation does not take into account the fact that depressive episodes tend
to cluster in individuals. 49% of those with (distal) GHQ depression at Phases 1, 2 or 3 also
had (proximal) depressive symptoms at Phases 5, 6 or 7. Furthermore, 43% of those with 2-3
episodes of ‘distal’ depressive symptoms also had 2-3 episodes of ‘proximal’ depressive
symptoms. The persistence effect is stronger when looking at all 6 measures of GHQ
depression over the 18-year period. In all, 250 participants reported depressive episodes
between 4 and 6 times over the total follow-up period; out of these 210 (84%) had 2-3
episodes of ‘distal’ and 218 (87%) reported ‘proximal’ depressive symptoms. Thus, clearly a
subgroup of individuals report persistent depressive symptoms and our results suggest that it
is this group that has greater risk of cognitive deficits in late midlife.
The association between depressive symptoms and cognition, impaired cognition or
dementia has been much examined in the research literature. There is a general consensus that
it is important to examine the temporal aspect of this association in order to make sense of the
three different explanations of this association: depression as a cause or a consequence of
cognitive decline, plus the common cause hypothesis. Considerable attention has been paid to
separating the cross-sectional from the longitudinal associations6;7 and examining either
multiple waves of data on cognition10-14 or dementia16-31. Less attention has been paid to
measuring depression over the adult lifecourse. The exceptions are studies that assess history
of depression20;27;28;49;49. However, two of these studies measure depression history
retrospectively, 24;27 and are likely to suffer from some recall bias, particularly as they are
based on the elderly. The other two studies use medical data to show increased risk of
cognitive deficit with increases in the number of episodes of depressive disorders28 or with
recurrent depression49. One of these used data on hospital admissions for affective disorders28
and the other was on an elderly sample and used data drawn from physician records49.
A recent meta-analysis examined the association between depression and Alzheimer’s
disease (AD) and reported an OR of 2.02 (95% CI=1.80-2.26) for AD among those with a
history of depression36. The review also found a positive association between a longer interval
between the diagnosis of depression and an increased risk of AD, in the few studies where it
was available. The conclusion reached by the review was that depression appears to be a risk
factor rather than a prodrome of AD. However, subsequent work continues to show
inconsistent results. Data from the Rush Religious Orders Study50 and the Rotterdam Scan
study35 suggest no increase in depressive symptoms during the prodromal phase of dementia
but a Swedish Twin study found the contrary.51 Finally, another study found only “severe”
depression to be a risk factor for dementia.32 However, in studies on the elderly, when the risk
9
factor being examined is influenced by early subclinical stages of disease, protopathic bias is
a real concern. Studies like ours that shift the observation window to midlife are likely to be
unbiased in this regard. Our results suggest that multiple or persistent episodes of depressive
symptoms are associated with greater risk of cognitive deficits. The association of frequent
proximal depressive episodes with cognition was somewhat more robust than that with
frequent distal depressive episodes. However, in further analyses (not shown but available on
request) we excluded all individuals with distal episodes and the associations for proximal
episodes were much reduced. Thus, clearly it is persistent depressive symptoms that are either
a risk factor or identify a group of individuals at risk of cognitive deficits.
Of the studies examining dementia as an outcome, a majority have focussed on
AD11;17;21;22;24-27;29;30;36, which implicates deficits in memory38;39. Our results suggest a
consistent effect of depressive symptoms (history, cross-sectional, distal, proximal and overall
frequency) on memory deficits. One study on the elderly reported recurrent depression or
history of depression to be characterized by deficits in memory49, suggesting that memory
might be particularly vulnerable domain. However, another study in which depressive
symptoms were associated with an increased risk of mild cognitive impairment (MCI) showed
stronger effects for the MCI subtype without memory impairment15. In general terms, the
mechanisms behind the association between depression and cognition remain little
understood. It has been suggested that the link between depression and cognition can be
attributed to vascular disease10;11;19;23;25;30;31, reflecting the common cause hypothesis. In our
data, as in other studies,52 statistical adjustment for vascular disease did not much change the
association between persistent depressive symptoms and cognitive deficit.
Our study has several strengths and limitations. The strengths lie in the size of the
study; the 6 measures of depressive symptoms over 18 years and multiple measures of
cognition. A further strength is the examination of the link between depression and cognition
in an age-group where incipient dementia is less likely to be a confounding factor. The
limitations are mostly to do with the scale used to assess depression. The GHQ depression
scale used is only a part of the seven item depression scale of the GHQ 28. GHQ depression is
also best considered to be a measure of depressive symptoms, and should not be equated with
clinically diagnosed depression42. It is essentially a measure of self-reported depressive
symptoms and although reliable, it does not indicate the severity of depression. There is some
evidence to suggest that major depression has a stronger effect on cognitive impairment4;32.
Nevertheless, our six measures of depressive symptoms are a good measure of persistent
depression. A further limitation is that no data were available for cognition at baseline and
10
thus it remains unclear to what extent cognitive functioning at study entry determined
subsequent trajectories of depression. Finally, the Whitehall II study is based on white-collar
civil servants and is not representative of the general population, limiting the generalisability
of our results.
In conclusion, our study of middle-aged adults from the Whitehall II cohort shows that
persistent depressive symptoms are a risk factor for cognition in late midlife. This association
is independent of vascular risk factors and appears to implicate memory in particular. Of the
three hypotheses put forward to explain the association between depression and cognition –
depression as a cause or a consequence and the common cause hypothesis – we did not
examine the hypothesis that depression was a consequence of declining cognition. However,
there was little evidence of vascular diseases explaining away the association between
persistent depressive symptoms and cognition. Our results suggest an association between
persistent depressive symptoms and poor cognitive function in late midlife. However, whether
this association is causal remains unclear as the precise mechanisms linking depression to
cognitive functioning remain to be elucidated.
11
Reference List
(1) Denihan A, Kirby M, Bruce I, Cunningham C, Coakley D, Lawlor BA. Three-year
prognosis of depression in the community-dwelling elderly. Br J Psychiatry
2000;176:453-457.
(2) Ritchie K, Lovestone S. The dementias. Lancet 2002;360:1759-1766.
(3) Arve S, Tilvis RS, Lehtonen A, Valvanne J, Sairanen S. Coexistence of lowered mood
and cognitive impairment of elderly people in five birth cohorts. Aging (Milano )
1999;11:90-95.
(4) Airaksinen E, Larsson M, Lundberg I, Forsell Y. Cognitive functions in depressive
disorders: evidence from a population-based study. Psychol Med 2004;34:83-91.
(5) Bierman EJ, Comijs HC, Jonker C, Beekman AT. Effects of anxiety versus depression
on cognition in later life. Am J Geriatr Psychiatry 2005;13:686-693.
(6) Dufouil C, Fuhrer R, Dartigues JF, Alperovitch A. Longitudinal analysis of the
association between depressive symptomatology and cognitive deterioration. Am J
Epidemiol 1996;144:634-641.
(7) Ganguli M, Du Y, Dodge HH, Ratcliff GG, Chang CC. Depressive symptoms and
cognitive decline in late life: a prospective epidemiological study. Arch Gen
Psychiatry 2006;63:153-160.
(8) Rabbitt P, Donlan C, Watson P, McInnes L, Bent N. Unique and interactive effects of
depression, age, socioeconomic advantage, and gender on cognitive performance of
normal healthy older people. Psychol Aging 1995;10:307-313.
(9) Vinkers DJ, Gussekloo J, Stek ML, Westendorp RG, van der Mast RC. Temporal
relation between depression and cognitive impairment in old age: prospective
population based study. BMJ 2004;329:881.
(10) Bassuk SS, Berkman LF, Wypij D. Depressive symptomatology and incident
cognitive decline in an elderly community sample. Arch Gen Psychiatry
1998;55:1073-1081.
(11) Geerlings MI, Schoevers RA, Beekman AT et al. Depression and risk of cognitive
decline and Alzheimer's disease. Results of two prospective community-based studies
in The Netherlands. Br J Psychiatry 2000;176:568-575.
(12) Paterniti S, Verdier-Taillefer MH, Dufouil C, Alperovitch A. Depressive symptoms
and cognitive decline in elderly people. Longitudinal study. Br J Psychiatry
2002;181:406-410.
(13) Wilson RS, Mendes de Leon CF, Bennett DA, Bienias JL, Evans DA. Depressive
symptoms and cognitive decline in a community population of older persons. J Neurol
Neurosurg Psychiatry 2004;75:126-129.
12
(14) Yaffe K, Blackwell T, Gore R, Sands L, Reus V, Browner WS. Depressive symptoms
and cognitive decline in nondemented elderly women: a prospective study. Arch Gen
Psychiatry 1999;56:425-430.
(15) Ravaglia G, Forti P, Lucicesare A et al. Prevalent depressive symptoms as a risk factor
for conversion to mild cognitive impairment in an elderly Italian cohort. Am J Geriatr
Psychiatry 2008;16:834-843.
(16) Baldwin RC, Gallagley A, Gourlay M, Jackson A, Burns A. Prognosis of late life
depression: a three-year cohort study of outcome and potential predictors. Int J
Geriatr Psychiatry 2006;21:57-63.
(17) Andersen K, Lolk A, Kragh-Sorensen P, Petersen NE, Green A. Depression and the
risk of Alzheimer disease. Epidemiology 2005;16:233-238.
(18) Buntinx F, Kester A, Bergers J, Knottnerus JA. Is depression in elderly people
followed by dementia? A retrospective cohort study based in general practice. Age
Ageing 1996;25:231-233.
(19) Chen P, Ganguli M, Mulsant BH, DeKosky ST. The temporal relationship between
depressive symptoms and dementia: a community-based prospective study. Arch Gen
Psychiatry 1999;56:261-266.
(20) Cooper B, Holmes C. Previous psychiatric history as a risk factor for late-life
dementia: a population-based case-control study. Age Ageing 1998;27:181-188.
(21) Dal Forno G., Palermo MT, Donohue JE, Karagiozis H, Zonderman AB, Kawas CH.
Depressive symptoms, sex, and risk for Alzheimer's disease. Ann Neurol 2005;57:381387.
(22) Devanand DP, Sano M, Tang MX et al. Depressed mood and the incidence of
Alzheimer's disease in the elderly living in the community. Arch Gen Psychiatry
1996;53:175-182.
(23) Fuhrer R, Dufouil C, Dartigues JF. Exploring sex differences in the relationship
between depressive symptoms and dementia incidence: prospective results from the
PAQUID Study. J Am Geriatr Soc 2003;51:1055-1063.
(24) Green RC, Cupples LA, Kurz A et al. Depression as a risk factor for Alzheimer
disease: the MIRAGE Study. Arch Neurol 2003;60:753-759.
(25) Heun R, Kockler M, Ptok U. Depression in Alzheimer's disease: is there a temporal
relationship between the onset of depression and the onset of dementia? Eur
Psychiatry 2002;17:254-258.
(26) Holtzer R, Scarmeas N, Wegesin DJ et al. Depressive symptoms in Alzheimer's
disease: natural course and temporal relation to function and cognitive status. J Am
Geriatr Soc 2005;53:2083-2089.
(27) Jorm AF, van Duijn CM, Chandra V et al. Psychiatric history and related exposures as
risk factors for Alzheimer's disease: a collaborative re-analysis of case-control studies.
EURODEM Risk Factors Research Group. Int J Epidemiol 1991;20 Suppl 2:S43-S47.
13
(28) Kessing LV, Andersen PK. Does the risk of developing dementia increase with the
number of episodes in patients with depressive disorder and in patients with bipolar
disorder? J Neurol Neurosurg Psychiatry 2004;75:1662-1666.
(29) Migliorelli R, Teson A, Sabe L, Petracchi M, Leiguarda R, Starkstein SE. Prevalence
and correlates of dysthymia and major depression among patients with Alzheimer's
disease. Am J Psychiatry 1995;152:37-44.
(30) Steffens DC, Plassman BL, Helms MJ, Welsh-Bohmer KA, Saunders AM, Breitner
JC. A twin study of late-onset depression and apolipoprotein E epsilon 4 as risk
factors for Alzheimer's disease. Biol Psychiatry 1997;41:851-856.
(31) Wilson RS, Barnes LL, Mendes de Leon CF et al. Depressive symptoms, cognitive
decline, and risk of AD in older persons. Neurology 2002;59:364-370.
(32) Chen R, Hu Z, Wei L, Qin X, McCracken C, Copeland JR. Severity of depression and
risk for subsequent dementia: cohort studies in China and the UK. Br J Psychiatry
2008;193:373-377.
(33) Solfrizzi V, D'Introno A, Colacicco AM et al. Incident occurrence of depressive
symptoms among patients with mild cognitive impairment - the Italian longitudinal
study on aging. Dement Geriatr Cogn Disord 2007;24:55-64.
(34) Sachs-Ericsson N, Joiner T, Plant EA, Blazer DG. The influence of depression on
cognitive decline in community-dwelling elderly persons. Am J Geriatr Psychiatry
2005;13:402-408.
(35) Geerlings MI, den HT, Koudstaal PJ, Hofman A, Breteler MM. History of depression,
depressive symptoms, and medial temporal lobe atrophy and the risk of Alzheimer
disease. Neurology 2008;70:1258-1264.
(36) Ownby RL, Crocco E, Acevedo A, John V, Loewenstein D. Depression and risk for
Alzheimer disease: systematic review, meta-analysis, and metaregression analysis.
Arch Gen Psychiatry 2006;63:530-538.
(37) Alzheimer's Disease International. World Alzheimer Report. 2009.
Ref Type: Online Source
(38) Petersen RC, Doody R, Kurz A et al. Current concepts in mild cognitive impairment.
Arch Neurol 2001;58:1985-1992.
(39) Morris JC, Storandt M, Miller JP et al. Mild cognitive impairment represents earlystage Alzheimer disease. Arch Neurol 2001;58:397-405.
(40) Barnes DE, Alexopoulos GS, Lopez OL, Williamson JD, Yaffe K. Depressive
symptoms, vascular disease, and mild cognitive impairment: findings from the
Cardiovascular Health Study. Arch Gen Psychiatry 2006;63:273-279.
(41) Marmot MG, Smith GD, Stansfeld S et al. Health inequalities among British civil
servants: the Whitehall II study. Lancet 1991;337:1387-1393.
14
(42) Stansfeld SA, North FM, White I, Marmot MG. Work characteristics and psychiatric
disorder in civil servants in London. J Epidemiol Community Health 1995;49:48-53.
(43) Goldberg DP. The detection of psychiatric illness by questionnaire. 1972. London,
UK: Oxford University Press.
Ref Type: Serial (Book,Monograph)
(44) Goldberg DP, Hillier VF. A scaled version of the General Health Questionnaire.
Psychol Med 1979;9:139-145.
(45) Heim AW. AH 4 group test of general Intelligence. Windsor, UK: NFER-Nelson
Publishing Company Ltd., 1970.
(46) Raven JC. Guide to using the Mill Hill vocabulary test with progressive matrices.
London, UK: HK Lewis, 1965.
(47) Borkowski JG, Benton AL, Spreen O. Word fluency and brain damage.
Neuropsychologica 1967;5:135-140.
(48) Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for
grading the cognitive state of patients for the clinician. J Psychiatr Res 1975;12:189198.
(49) Rapp MA, Dahlman K, Sano M, Grossman HT, Haroutunian V, Gorman JM.
Neuropsychological differences between late-onset and recurrent geriatric major
depression. Am J Psychiatry 2005;162:691-698.
(50) Wilson RS, Arnold SE, Beck TL, Bienias JL, Bennett DA. Change in depressive
symptoms during the prodromal phase of Alzheimer disease. Arch Gen Psychiatry
2008;65:439-445.
(51) Brommelhoff JA, Gatz M, Johansson B, McArdle JJ, Fratiglioni L, Pedersen NL.
Depression as a risk factor or prodromal feature for dementia? Findings in a
population-based sample of Swedish twins. Psychol Aging 2009;24:373-384.
(52) Luchsinger JA, Honig LS, Tang MX, Devanand DP. Depressive symptoms, vascular
risk factors, and Alzheimer's disease. Int J Geriatr Psychiatry 2008;23:922-928.
15
Table 1. Sample characteristics at Phase 7 of those with those with and without a history of depressive symptoms.
MEN
depressed‡
depressed†
depressed‡
N=965 (31.4%)
N=2111 (68.6%)
N=454 (38.0%)
N=741 (62.0%)
60.4 (5.9)
61.4 (6.0)
<0.0001
61.1 (6.0)
61.5 (6.2)
0.37
% Married
757 (78.5 %)
1820 (86.2 %)
<0.0001
238 (52.4 %)
443 (59.8 %)
0.01
% University degree or higher
347 (36.0 %)
658 (31.2 %)
0.009
121 (26.7 %)
141 (19.0 %)
0.002
94 (9.7 %)
204 (9.7 %)
0.94
38 (8.4 %)
57 (7.7 %)
0.67
% Diabetes
221 (22.9 %)
529 (25.1 %)
0.20
98 (21.6 %)
180 (24.3 %)
0.28
% Hypertension
365 (37.8 %)
809 (38.3 %)
0.80
159 (35.0 %)
315 (42.5 %)
0.01
% Stroke
32 (3.3 %)
58 (2.8 %)
0.38
10 (2.2 %)
15 (2.0%)
0.83
% Anti-depressant medication
58 (6.0 %)
26 (1.2 %)
<0.0001
34 (7.5 %)
18 (2.4 %)
<0.0001
†
depressed†
p
Never
% Coronary Heart Disease
Never
p
Ever
Age (M (SD))
Ever
WOMEN
Depressed one or more times over the 6 waves of measurement.
Not depressed at any of the 6 measures over the 18-year follow-up.
M mean, SD standard deviation.
‡
16
Table 2. Association between depressive symptoms (history, and cross-sectionally) and cognitive deficit† at Phase 7.
History of depressive symptoms and
cognition
Never Depressed‡
Ever (once or more)
Depressed
N=2852 (66.8%)
N=1419 (33.2%)
OR (95% CI)
Cross-sectional association between
depressive symptoms and cognition
Not Depressed at
Depressed at Phase 7
Phase 7
N=3805 (89.1%)
N=466 (10.9%)
OR (95% CI)
Memory
adjusted for age, sex, marital status & education
1
1.20 (1.00-1.45)*
1
1.38 (1.06-1.80)*
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
1
1.19 (0.99-1.43)
1
1.36 (1.04-1.77)*
adjusted for age, sex, marital status & education
1
1.26 (1.07-1.49)*
1
1.46 (1.14-1.86)*
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
1
1.28 (1.08-1.51)*
1
1.46 (1.14-1.87)*
adjusted for age, sex, marital status & education
1
1.14 (0.96-1.34)
1
1.40 (1.10-1.78)*
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
1
1.14 (0.96-1.35)
1
1.39 (1.10-1.77)*
adjusted for age, sex, marital status & education
1
1.11 (0.94-1.32)
1
1.24 (0.97-1.60)
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
1
1.11 (0.94-1.32)
1
1.22 (0.94-1.58)
adjusted for age, sex, marital status & education
1
1.19 (1.00-1.42)*
1
1.40 (1.10-1.80)*
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
1
1.19 (1.00-1.42)*
1
1.37 (1.05-1.77)*
adjusted for age, sex, marital status & education
1
1.08 (0.89-1.32)
1
1.24 (0.93-1.64)
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
1
1.05 (0.86-1.29)
1
1.17 (0.88-1.56)
AH4-I (reasoning)
Mill Hill (vocabulary)
Phonemic fluency
Semantic fluency
MMSE
†
Worst sex-specific quintile of cognitive function at Phase 7; covariates drawn from Phase 7.
‡
Not depressed at any of the 6 measures over the 18-year follow-up.
17
Table 3. The association between frequency of depressive symptoms over 18 years and cognitive deficit† at phase 7.
Never
Depressed‡
N=2852
(66.8%)
ref
Memory
adjusted for age, sex, marital status & education
1
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
1
AH4-I (reasoning)
adjusted for age, sex, marital status & education
1
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
Mill Hill (vocabulary)
adjusted for age, sex, marital status & education
1
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
Phonemic fluency
adjusted for age, sex, marital status & education
1
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
Semantic fluency
adjusted for age, sex, marital status & education
1
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
1
1
1
1
Depressed 1 time
Depressed 2 or 3
times
Depressed 4 ,5 or 6
times
N=706 (16.5%)
N=463 (10.8%)
N=250 (5.9%)
OR (95% CI)
OR (95% CI)
OR (95% CI)
0.95 (0.74-1.22)
0.95 (0.74-1.22)
1.27 (0.96-1.67)
1.26 (0.96-1.66)
1.92 (1.38-2.66)*
1.91 (1.36-2.67)*
1.16 (0.93-1.44)
1.18 (0.95-1.47)
1.26 (0.98-1.63)
1.28 (0.99-1.66)
1.60 (1.16-2.20)*
1.60 (1.15-2.20)*
1.08 (0.87-1.34)
1.10 (0.88-1.36)
0.93 (0.72-1.22)
0.94 (0.72-1.23)
1.75 (1.28-2.40)*
1.75 (1.27-2.41)*
1.06 (0.85-1.33)
1.07 (0.86-1.34)
1.04 (0.80-1.36)
1.04 (0.80-1.37)
1.43 (1.03-1.98)*
1.40 (1.00-1.94)*
1.01 (0.80-1.28)
1.03 (0.81-1.30)
1.21 (0.93-1.60)
1.22 (0.93-1.60)
1.73 (1.25-2.40)*
1.68 (1.20-2.35)*
0.95 (0.73-1.23)
0.95 (0.73-1.23)
0.91 (0.66-1.25)
0.89 (0.65-1.23)
1.90 (1.35-2.65)*
1.76 (1.25-2.50)*
MMSE
†
adjusted for age, sex, marital status & education
1
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
1
Worst sex-specific quintile of cognitive function; covariates drawn from Phase 7.
Not depressed at any of the 6 measures over the 18-year follow-up.
‡
18
Table 4. The association between frequency of DISTAL depressive symptoms (Phases 1, 2, 3) and cognitive deficit† at phase 7.
Not Depressed‡
Depressed 1 time
Depressed 2 or 3 times
N=3208 (75.1%)
N=651 (15.2%)
N=412 (9.7%)
OR (95% CI)
OR (95% CI)
1.14 (0.90-1.45)
1.14 (0.90-1.46)
1.50 (1.14-1.97)*
1.49 (1.14-1.95)*
1.13 (0.90-1.40)
1.14 (0.91-1.42)
1.22 (0.94-1.58)
1.20 (0.92-1.56)
1.16 (0.93-1.45)
1.17 (0.94-1.46)
1.06 (0.81-1.39)
1.05 (0.80-1.37)
0.93 (0.74-1.17)
0.93 (0.74-1.18)
1.21 (0.93-1.57)
1.19 (0.92-1.56)
1.20 (0.95-1.51)
1.21 (0.96-1.52)
1.36 (1.04-1.78)*
1.35 (1.03-1.76)*
0.97 (0.74-1.26)
0.98 (0.74-1.28)
1.31 (0.98-1.76)
1.29 (0.96-1.73)
Memory
adjusted for age, sex, marital status & education
1
+ diabetes, CHD & hypertension
1
AH4-I (reasoning)
adjusted for age, sex, marital status & education
1
+ diabetes, CHD & hypertension
Mill Hill (vocabulary)
adjusted for age, sex, marital status & education
1
+ diabetes, CHD & hypertension
Phonemic fluency
adjusted for age, sex, marital status & education
1
+ diabetes, CHD & hypertension
Semantic fluency
adjusted for age, sex, marital status & education
1
+ diabetes, CHD & hypertension
1
1
1
1
MMSE
†
adjusted for age, sex, marital status & education
1
+ diabetes, CHD & hypertension
1
Worst sex-specific quintile of cognitive function at Phase 7; covariates drawn from Phase 3.
Not depressed at the 3 distal measures of depressive symptoms.
‡
19
Table 5. The association between frequency of PROXIMAL depressive symptoms (Phases 5, 6, 7) and cognitive deficit† at phase 7.
Not Depressed
Depressed 1 time
Depressed 2 or 3 times
N=3399 (79.6%)
N=535 (12.5%)
N=337 (7.9%)
OR (95% CI)
OR (95% CI)
1.13 (0.87-1.48)
1.12 (0.86-1.47)
1.74 (1.30-2.34)*
1.70 (1.26-2.29)*
1.30 (1.02-1.64)*
1.30 (1.03-1.66)*
1.75 (1.33-2.30)*
1.76 (1.32-2.33)*
1.20 (0.95-1.52)
1.20 (0.95-1.52)
1.58 (1.20-2.09)*
1.57 (1.18-2.08)*
1.09 (0.85-1.39)
1.08 (0.84-1.39)
1.51 (1.14-2.00)*
1.48 (1.11-1.98)*
0.95 (0.73-1.24)
0.95 (0.73-1.24)
1.80 (1.36-2.39)*
1.76 (1.32-2.36)*
1.03 (0.77-1.37)
1.00 (0.75-1.34)
1.70 (1.25-2.31)*
1.59 (1.16-2.18)*
Memory
adjusted for age, sex, marital status & education
1
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
1
AH4-I (reasoning)
adjusted for age, sex, marital status & education
1
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
Mill Hill (vocabulary)
adjusted for age, sex, marital status & education
1
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
Phonemic fluency
adjusted for age, sex, marital status & education
1
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
Semantic fluency
adjusted for age, sex, marital status & education
1
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
1
1
1
1
MMSE
†
adjusted for age, sex, marital status & education
1
+ diabetes, CHD, hypertension, stroke, & anti-depressant use
1
Worst sex-specific quintile of cognitive function at Phase 7; covariates drawn from Phase 7.
Not depressed at the 3 proximal measures of depressive symptoms.
‡
Download